Architecting Clarity Across Complex Battlezones
Altamira delivers future-focused capabilities in the key domains of modern warfare to top National Security organizations. Our approach expedites delivery by advancing and combining real-world capabilities for novel application in critical mission sets.
Altamira’s Advanced Analytics capabilities include:
- ML/AI Usability – ML algorithms such as image recognition, object detection, semantic segmentation, NLP, and tools available for a wide range of opportunities
- Cyber Analytics – Analysis of Zero-day vulnerabilities, malicious software and documents, and the protection mechanisms of malware
ATHENA
Athena is an ML/AI package with multiple ML algorithms that range from Computer Vision techniques and open Neural Machine Translation. These algorithms allow for massive amounts of data (terabytes) to be sifted through in a short time (hours) and characterized for data triage and advanced data analytics.
Generating synthetic data on-demand and in any quantity
As machine learning becomes increasingly widespread, simulating real data is critical. Generating on-demand synthetic data gives you the ability to set specific scenarios and test the scalability of your algorithms. Altamira’s synthetic data approach extends the state-of-the-art generative modeling techniques by leveraging statistical and deep learning methodologies to generate arbitrary amounts of synthetic data that resembles donor data sets. Our approach fuses intelligent data preprocessing, generative adversarial networks, and conditional probability estimations to autonomously learn about data.
Sanitize
Strip or anonymize any personal information (i.e., names, license plates, etc.) or sensitive data (customers, etc.) contained in a donor dataset
Learn
Leverage machine learning to construct generative models from a donor dataset that estimates joint probability distributions in the original dataset
Synthesize
Using the learned generative model, Synthesize arbitrary amounts of synthetic data, containing statistical relationships resident within the original data set
See in the Dark is a Deep Learning (DL) neural network image regression algorithm that enhances low light imagery so that the resulting image appears to have been taken in standard lighting conditions.
Cyber Analytics
Anticipating and assessing active threats
The Interactive Content Editor (ICE) provides full-featured and interactive intelligence reports to enable enhanced decision making for critical stakeholders in the national security community.
Our Cyber Analytics solutions include:
- Analysis of Zero-Day Vulnerabilities
- Expertise with debuggers, disassemblers, and sniffers for malware triage
- Post-mortem memory forensics
- Analysis of protection mechanisms used by malware
- Analysis of malicious software and documents
